Journal Articles (All Issues)

Abstract

Regardless of age, pulmonary infections are a big challenge throughout the world which may lead to huge number of deaths in every year. It is necessary to identify the lung diseases in early stages so that doctors can help the infected person. In existing system, so many deep learning algorithms have been used to find out pulmonary diseases using cough sounds, but have not given much accurate results. The main intention of this publication is to raise awareness among people about lung infections in advance with the help of cough sounds. The system, called RESNET-18, uses a deep learning algorithm to analyse and categorize cough sounds. By listening to cough sounds, one can determine whether a person may be suffering from pneumonia, pulmonary edema, asthma, TB, COVID-19, pertussis, or another respiratory illness. It offers a safe and economical way to determine the likelihood lung infections.

References

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